TimeSformer-GPT2-UCF-mini

This model is a fine-tuned version of Neleac/SpaceTimeGPT on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3065
• Rouge1: 23.736
• Rouge2: 1.0376
• Rougel: 18.1037
• Rougelsum: 18.4236
• Gen Len: 31.2877

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.1547	2.4876	500	0.3065	23.736	1.0376	18.1037	18.4236	31.2877

Framework versions

• Transformers 4.51.1
• Pytorch 2.5.1+cu124
• Datasets 3.5.0
• Tokenizers 0.21.0